Machine Learning Engineering Manager
Autodesk · United States
- Hybrid
- Full-time
- CA$150,000 / year
- United States
Job highlights
- Lead a team building AI/ML foundation models.
- Shape the future of the AEC industry with AI.
- Recruit and mentor diverse engineering talent.
- Collaborate across organizations on AI solutions.
- Ensure data privacy and security standards.
About the role
Position Overview
If you're looking to make a significant impact and shape the future of the AEC industry, this is the role for you. AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC industry. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud—and Forma, our new Industry Cloud.
As a Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team to collaborate across organizations to build the latest foundation models and generative AI tools for the AEC industry. You will also ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.
You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team. We support hybrid work, and you can work near our Toronto, Canada or Boston, MA.
Responsibilities
- Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps.
- Build a new team by recruiting talent from diverse backgrounds and perspectives.
- Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions.
- Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals.
- Foster a culture of innovation, continuous improvement, and excellence.
- Keep up-to-date with the latest AI trends and apply this expertise to improve team performance and product quality.
- Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations.
- Educate leaders at Autodesk on best uses and practices of AI.
- Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless.
Minimum Qualifications
- MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field.
- 5+ years of experience in machine learning engineering or related field.
- 3+ years of experience as a manager.
- Experience building an innovative and creative team culture.
- Ability to break down large, long lead projects into shorter, clear milestones to deliver value incrementally.
- Strong interpersonal skills and ability to work across many organizations.
- Experience with Scrum and Agile development processes and methodologies.
Preferred Qualifications
- Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards.
- Experience training deep neural nets, such as CNN and transformers and proficiency in at least one deep learning framework, for example PyTorch, TensorFlow.
- Strong fundamentals in 3D geometry and geometric computer vision.
- Exposure to Cloud Computing in AWS and using the SageMaker Studio platform.
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Key skills/competency
- Machine Learning Engineering Manager
- Machine Learning
- AI Development
- Foundation Models
- Generative AI
- AEC Industry
- Team Leadership
- Agile Methodologies
- Cloud Computing
- Deep Learning Frameworks
Skills & topics
- Machine Learning Engineering Manager
- Machine Learning
- AI
- Generative AI
- Foundation Models
- AEC Industry
- Team Leadership
- Manager
- Autodesk
- Software Engineering
How to get hired
- Tailor your resume: Highlight machine learning, AI, team leadership, and AEC experience.
- Showcase impact: Quantify achievements in previous management roles and ML projects.
- Demonstrate collaboration: Emphasize experience working across diverse teams and organizations.
- Prepare for interviews: Be ready to discuss AI trends, team building, and Agile methodologies.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Machine Learning Engineering Manager role at Autodesk?
- The Machine Learning Engineering Manager at Autodesk will lead a team focused on building foundation models and AI-powered tools specifically for the Architecture, Engineering, and Construction (AEC) industry. This includes generative AI and ensuring data privacy and security.
- What kind of team will I be leading as a Machine Learning Engineering Manager at Autodesk?
- You will be building and leading a new team of talented individuals with diverse backgrounds and perspectives, focused on developing cutting-edge AI and ML solutions for the AEC sector.
- Does Autodesk offer flexible work arrangements for this Machine Learning Engineering Manager position?
- Yes, Autodesk supports a hybrid work model for this role, allowing for flexibility in where you work, with a focus near their Toronto, Canada or Boston, MA locations.
- What are the key qualifications for the Machine Learning Engineering Manager role?
- A Master's degree in a related field, 5+ years in ML engineering, and 3+ years in management are required. Experience building innovative teams and working with Agile methodologies is also crucial.
- What preferred qualifications would make a candidate stand out for this Autodesk role?
- Preferred qualifications include experience in the AEC industry, with Autodesk products like Revit, familiarity with deep neural nets (CNNs, transformers), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms like AWS SageMaker.
- How does Autodesk approach compensation for this Machine Learning Engineering Manager position?
- Autodesk offers a competitive compensation package that includes base salary, potential annual bonuses, stock grants, and comprehensive benefits. For Canada-based roles, a specific salary range is provided, with offers adjusted based on experience and location.
- What is Autodesk's culture like for employees in technical roles like Machine Learning Engineering Manager?
- Autodesk prides itself on a culture of innovation, continuous improvement, and belonging. They focus on empowering employees to do meaningful work and foster a collaborative environment where everyone can thrive.
- How can I best prepare my application for the Machine Learning Engineering Manager role at Autodesk?